沈丹祎, 石振明, 彭铭, 薛丹旋, 蒋明子. 2019: 堰塞坝稳定性快速评估. 工程地质学报, 27(s1): 348-355. DOI: 10.13544/j.cnki.jeg.2019114
    引用本文: 沈丹祎, 石振明, 彭铭, 薛丹旋, 蒋明子. 2019: 堰塞坝稳定性快速评估. 工程地质学报, 27(s1): 348-355. DOI: 10.13544/j.cnki.jeg.2019114
    SHEN Danyi, SHI Zhenming, PENG Ming, XUE Danxuan, JIANG Mingzi. 2019: STABILITY ESTIMATION OF LANDSLIDE DAMS. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 348-355. DOI: 10.13544/j.cnki.jeg.2019114
    Citation: SHEN Danyi, SHI Zhenming, PENG Ming, XUE Danxuan, JIANG Mingzi. 2019: STABILITY ESTIMATION OF LANDSLIDE DAMS. JOURNAL OF ENGINEERING GEOLOGY, 27(s1): 348-355. DOI: 10.13544/j.cnki.jeg.2019114

    堰塞坝稳定性快速评估

    STABILITY ESTIMATION OF LANDSLIDE DAMS

    • 摘要: 堰塞坝是由崩滑流等失稳体堵塞河流形成的,其具有形成突然、危险性大的特点,一旦失稳,容易导致下游巨大洪灾,可能造成灾害性的生命财产损失。然而由于堰塞坝形态各异、级配不均、结构复杂,目前对快速评估堰塞坝稳定性的研究受到很大的制约。本文收集国内外1757例堰塞坝案例,对堰塞坝的诱因、坝体材料、坝体形态(坝高、坝长、坝宽)等特征与稳定性的关系进行统计分析,发现降雨诱发堰塞坝的稳定性最差,主要是由于降雨型堰塞坝坝体材料颗粒相对较小,含水量较高;土质堰塞坝的稳定性显著低于岩石和土石混合体堰塞坝,原因是土质材料透水性差,抗冲流速较低。此外,随着坝高和库容的增加,稳定性先增加后减少,其原因是坝高过小易于过流,坝高过大,库水势能增加,坝体稳定性下降;随着坝宽、坝体体积的增加,稳定性逐渐增加,其原因是坝宽和坝体积的增加,加强了坝体抗侵蚀性和抗滑性;随着入流量的增加,稳定性逐渐减小,原因是入流量的增加降低过流时间,且水流对坝体材料的冲刷性加强。尽管如此,堰塞坝的稳定性很难通过单一因素进行判断,往往受到多因素的综合影响。本文通过对67例具有详细坝体特征信息的案例进行回归分析,基于7个无量纲参数提出堰塞坝稳定性快速评估模型,模型预测的准确率为85.1%,本文所提出模型的预测准确率较高,主要是因为本文所提出的模型考虑了坝体材料特征和堰塞坝形成诱因。最后,将模型应用于2018年雅鲁藏布江的两个突发堰塞坝的稳定性分析,结果表明,本文提出的堰塞坝稳定性评估模型在实际预测中具有一定的参考价值。

       

      Abstract: Landslide dams usually formed by collapse, landslide, debris flow, et al.,which have the characteristics of sudden formation and great dangerous. If the dam breaching, it is easy to flood the downstream area by surges and cause huge loss of life and property. However, the study of rapid stability assessment of landslide dams is greatly restricted due to its various geometrical shapes, inhomogeneous material composition and complex internal structure. In this paper, a database with 1757 landslide dams from all over the world was compiled. The influences of dam characteristic parameters(triggers, hydrology/geometric parameters, materials) and dam stability are analyzed. Rainfall-induced dam and the dam with soil material have the worst stability, mainly because of the material particles of rainfall-induced landslide dam are relatively small water content, while the soil landslide dams usually have poor permeability and low impact velocity. Besides, the dam stability first increase and then decrease with dam height and lake volume increase because of when the dam height is too small, it's easy to overflow and when the dam height too high, the reservoir water potential energy increases. The dam stability increases with the dam width and dam volume increase, the main reason is that with the dam width and volume increase will increase the resistance of the dam to sliding. The dam stability decreases with the average discharge increase, the reason is that the increase of the inflow rate reduces the overflow time. It is also found that landslide dam stability cannot be predicted by one or two influence factors since it is affected by multi factors. Based on seven dimensionless variables, a rapid evaluation model for estimating the stability is developed. The accuracy of the model is 85.1%. The model developed in this paper show better accuracy due to considering dam materials and triggers. Case studies(Jiala landslide dams) are presented to show the application of the model developed in this paper.

       

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